The advent of cloud computing in healthcare has made it possible for storage to become scalable and cost effective, which allows sensitive healthcare data to be accessed remotely and promotes collaboration among healthcare providers. The challenge in this data during the time of storage and retrieval will need to be secured and have privacy because it is at risk from cyber threats and unauthorized access existing solutions that do not protect healthcare data from vulnerabilities during decryption and usage.The study proposes developing a methodology for retrieving healthcare data from cloud storage for sensitive information. The system generates a key that will enable a decryption process by using the Blowfish algorithm in order to perform fast and secure decryption of healthcare data. Auditing and monitoring mechanisms are implemented to keep track of unauthorized activities while Threat Intelligence Platforms(TIPs) are used for detecting threats in real time. Further, sensitive information is protected from other forms of misappropriation through data masking. Thus, it suffices to say that all these components make secure handling of healthcare data in compliance with privacy regulation possible.The outcomes show that the key generation time increases linearly with the increase in prime sizes and varies from 200 ms for 0 bits to 1400 ms at 2000 bits. Similarly, the decryption times have risen with the rise of the number of files: the decryption time is 0.82 seconds for 0 files at one point, whereas, for 1000 files, it goes up to 9.33 seconds. There is a suitable match between the predicted CPU usage values and the actual observed values, and thus it confirms the efficiency of the system.This study provides secure methodologies for retrieving health care data from clouds using decryption, monitoring, and masking for sensitive information. This would add value by giving a framework for acquiring fairly secure health data from the cloud in a way that advances health data protection and minimizes vulnerabilities.
